Search

CN-122019634-A - File information management method based on full life cycle

CN122019634ACN 122019634 ACN122019634 ACN 122019634ACN-122019634-A

Abstract

The invention discloses a case information management method based on a full life cycle, which particularly relates to the technical field of case management, and is characterized in that the case information generated in the full life cycle of a case is collected, a structured case information index library is built, initial association relations among case association main bodies are identified, an association initial topological structure is built, the association initial topological structure is analyzed by adopting a link prediction algorithm, weak association topological areas which appear along with time are identified, fracture risk nodes in the topological structure are judged, the association degradation trend of the case association main bodies is predicted, association complementary analysis is carried out on the fracture risk nodes, potential hidden association among the case information is excavated, and finally the initial topological structure is updated and reconstructed according to hidden association excavation data. The method and the system can realize accurate analysis and prediction of the association relation of the file information, and improve the integrity and the intelligent level of file information management.

Inventors

  • SONG QI

Assignees

  • 中国共产党山东省委员会党校

Dates

Publication Date
20260512
Application Date
20260128

Claims (7)

  1. 1. A method for managing file information based on a full life cycle is characterized by comprising the following steps: S1, collecting case information generated by different time nodes in a full life cycle, and establishing a data index according to the type of the case information to generate a case information index library; s2, identifying initial association relations between case association main bodies in the case information according to the case information index library, and establishing an association relation initial topological structure; S3, analyzing an association relation initial topological structure by adopting a link prediction algorithm, and identifying a topological structure weak association area which appears along with the time to obtain weak association topological area distribution data; S4, judging fracture risk nodes in an initial topological structure of the association relation based on the distribution data of the weak association topological area, and generating a case association main body association degradation prediction list; S5, carrying out association complementary analysis on the fracture risk nodes according to the node association degradation prediction list, and identifying potential implicit association between the case information to generate implicit association mining data; And S6, updating and reconstructing the initial topological structure of the association relation according to the hidden association mining data to form a complete life cycle association topological structure of the file information.
  2. 2. The method for managing case information based on the full life cycle of claim 1, wherein S1 specifically comprises: collecting case information generated by different time nodes in the whole life cycle, writing the case information into an original case information set, performing format standardization and character coding unification on the case information, and attaching a time mark and a source mark; Extracting a file information type label according to a file information type mapping rule; constructing an index key based on the file information type label, the time mark and the source mark and generating an index entry; The aggregate index entries form a file information index base.
  3. 3. The method for managing case information based on the full life cycle of claim 2, wherein S2 is specifically: reading an index entry based on the file information index library, and analyzing an index key to obtain a file information type label, a time mark and a source mark; extracting a case related subject identifier from the case information, and normalizing to form a case related subject set; generating an association relation record according to the co-occurrence relation and the time continuous relation of the same case association main body in different index entries; and constructing an association initial topological structure by converging the association records.
  4. 4. The method for managing case information based on full life cycle of claim 3, wherein S3 specifically is: reading a file association main body set and an association record based on an association initial topological structure, dividing a time window according to a time mark and generating a time window topological structure; Calculating the link prediction score of the case association subject pair in the time window topological structure by adopting a link prediction algorithm to form a link prediction score set; calculating a link deviation value according to the link prediction score set and the actual link state in the time window topological structure, and generating link deviation characteristic data; and converging the weak association node clusters according to the weak association judging rule based on the link deviation characteristic data, and outputting weak association topological area distribution data.
  5. 5. The method for managing case information based on full life cycle of claim 4, wherein S4 is specifically: reading a weak association node cluster based on the weak association topological area distribution data, mapping the weak association node cluster to an association relation initial topological structure, and extracting a case association main body set corresponding to the weak association node cluster; Calculating node degree values and medium values of a case association main body set in an association relation initial topological structure to form node structure characteristic data; Calculating node fracture risk values based on the node structure characteristic data and the link deviation characteristic data and generating a fracture risk node set; And outputting a case association subject association degradation prediction list according to the fracture risk node set.
  6. 6. The method for managing case information based on full life cycle of claim 5, wherein S5 specifically comprises: reading a breaking risk node set based on a case association main body association degradation prediction list, positioning index entries corresponding to the breaking risk node set, and extracting case information associated with the index entries to form a candidate case information set; Performing similar merging based on the case information type labels in the candidate case information set and performing time sorting based on the time marks to generate a candidate case information sequence; performing keyword matching and reference relation analysis on the candidate file information sequence to generate a reference relation record; and carrying out consistency check on the basis of the reference relation record and the association relation record, and outputting implicit association mining data.
  7. 7. The method for managing case information based on the full life cycle of claim 6, wherein S6 is specifically: Extracting a case association subject identification pair corresponding to the implicit association mining data based on the implicit association mining data and generating a supplementary association relation record; The supplementary association relation record is merged into the association relation record, and the association relation initial topological structure is updated according to the supplementary association relation record to obtain an updated topological structure; performing redundant link digestion and connectivity verification based on the case association subject set in the updated topology structure to generate a reconstructed link set; And reconstructing the updated topological structure according to the reconstructed link set to obtain the case information full life cycle associated topological structure.

Description

File information management method based on full life cycle Technical Field The invention relates to the technical field of file management, in particular to a file information management method based on a full life cycle. Background In the prior art, the management of the case information is generally carried out in an independent and scattered mode, a large amount of various types of information such as texts, images, electronic data and the like are generated in the process from case establishment, investigation and disposal to final filing, and are often stored in independent business systems or departments, and unified data association and analysis means are lacked, so that the internal association among the case information is difficult to identify in time and effectively mine. Therefore, the technical problem in the prior art is that the lack of an effective method for unified management and association analysis of the case information in the whole life cycle causes that potential association relations among case association subjects are difficult to discover and identify in time, and the efficiency and accuracy of case information management and analysis are restricted. Disclosure of Invention In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a method for managing case information based on a full life cycle to solve the above-mentioned problems set forth in the background art. In order to achieve the above purpose, the present invention provides the following technical solutions: A case information management method based on a full life cycle comprises the following steps: S1, collecting case information generated by different time nodes in a full life cycle, and establishing a data index according to the type of the case information to generate a case information index library; s2, identifying initial association relations between case association main bodies in the case information according to the case information index library, and establishing an association relation initial topological structure; S3, analyzing an association relation initial topological structure by adopting a link prediction algorithm, and identifying a topological structure weak association area which appears along with the time to obtain weak association topological area distribution data; S4, judging fracture risk nodes in an initial topological structure of the association relation based on the distribution data of the weak association topological area, and generating a case association main body association degradation prediction list; S5, carrying out association complementary analysis on the fracture risk nodes according to the node association degradation prediction list, and identifying potential implicit association between the case information to generate implicit association mining data; And S6, updating and reconstructing the initial topological structure of the association relation according to the hidden association mining data to form a complete life cycle association topological structure of the file information. In a preferred embodiment, S1 is specifically: collecting case information generated by different time nodes in the whole life cycle, writing the case information into an original case information set, performing format standardization and character coding unification on the case information, and attaching a time mark and a source mark; Extracting a file information type label according to a file information type mapping rule; constructing an index key based on the file information type label, the time mark and the source mark and generating an index entry; The aggregate index entries form a file information index base. In a preferred embodiment, S2 is specifically: reading an index entry based on the file information index library, and analyzing an index key to obtain a file information type label, a time mark and a source mark; extracting a case related subject identifier from the case information, and normalizing to form a case related subject set; generating an association relation record according to the co-occurrence relation and the time continuous relation of the same case association main body in different index entries; and constructing an association initial topological structure by converging the association records. In a preferred embodiment, S3 is specifically: reading a file association main body set and an association record based on an association initial topological structure, dividing a time window according to a time mark and generating a time window topological structure; Calculating the link prediction score of the case association subject pair in the time window topological structure by adopting a link prediction algorithm to form a link prediction score set; calculating a link deviation value according to the link prediction score set and the actual link state in the time window topological structure, and gener